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import folium ,pandas ,json

df=pandas.read_csv('Volcanoes_2.txt')

def colors(elev):
    minimum=int(min(df['ELEV']))
    step=int(max((df['ELEV'])-min(df['ELEV']))/3)
    if elev in range (minimum,minimum+step):
        col= "green"
    elif elev in range(minimum+step,minimum+step*2):
        col= "orange"
    else:
        col= "red"
    return col


map_1=folium.Map(location=[df['LAT'].mean(), df['LON'].mean()] ,
zoom_start=6,tiles='mapbox bright')

for name, lon, lat, elev in zip(df['NAME'], df['LON'], df['LAT'],
df['ELEV'] ):
    folium.Marker([lat, lon], popup= name,
     icon = folium.Icon(color =colors(elev))).add_to(map_1)

folium.GeoJson(open('world_geojson.json'),
           name='geojson',
           style_function= lambda x :{'fillcolor':'green' if \
  x['properties']['POP2005']<10000000 \
       else 'orange' if 10000000 <x['properties']['POP2005']>20000000 else 'red'},
       ).add_to(map_1)

folium.LayerControl().add_to(map_1)

map_1.save("map.html")

这是地图文件https://github.com/xxspider4/new_repo/blob/master/map.html

这是 json 文件https://github.com/xxspider4/new_repo/blob/master/world_geojson.json

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1 回答 1

8

你非常亲近。fillcolor通过更改为fillColor您的样式功能,我能够使其工作

lambda x :{'fillColor':'green' if \ x['properties']['POP2005']<10000000 \ else 'orange' if 10000000 <x['properties']['POP2005']>20000000 else 'red'}

于 2017-07-07T01:10:04.890 回答